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Core AI

68,645 papers (13 classified directly here)

Multimodal Learning (14,926) Large Language Models (9,515) Interpretability (8,292) Foundation Models (5,277) Agent Systems (4,710) Causal Inference (3,958) Multi-Agent Systems (3,842) AI Safety (3,602) Planning (3,482) Reasoning (3,360) Human-AI Interaction (2,465) Model Compression (2,258) Natural Language Processing (2,186) Responsible AI (2,130) Computer Vision (1,901) Game AI (1,846) Reinforcement Learning (1,698) Adversarial Learning (1,500) Autonomous Vehicles (1,488) Language (1,345) Fairness (1,279) Game Theory (1,129) Robotics (1,087) Dialogue Systems (1,066) Efficient Computing (956) Vision-Language Models (928) Knowledge Graph (735) Procedural Generation (709) Trajectory Prediction (676) Evaluation (655) Privacy (617) Natural Language Generation (573) Information Retrieval (541) Memory (526) Decision Making (480) Safety (474) Knowledge Representation (409) Knowledge (386) Information Extraction (378) Speech Processing (310) Knowledge Graphs (282) Security (256) Uncertainty Quantification (246) Representation Learning (239) Retrieval-Augmented Generation (225) Knowledge Editing (200) Question Answering (199) Attention (198) Robustness (186) Knowledge Distillation (185) Code Generation (168) Explainability (142) Brain-Computer Interface (141) Neural Networks (136) Anomaly Detection (132) Automated Reasoning (84) Natural Language Understanding (81) Multi-Lingual Learning (79) Education (64) Machine Translation (57) Learning Paradigms (57) Speech Recognition (55) Risk Management (51) Visual Question Answering (49) Communication (35) Motion Analysis (32) Natural Language Inference (29) Sentiment Analysis (19) Representation (17)
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Papers (including subtopics)

A Unified Framework and Dataset for Assessing Societal Bias in Vision-Language Models EMNLP 2024 A Unified Framework for Model Editing EMNLP 2024 A Unified Generative Framework for Bilingual Euphemism Detection and Identification ACL 2024 A Unified LLM-KG Framework to Assist Fact-Checking in Public Deliberation COLING 2024 A Unified Self-Distillation Framework for Multimodal Sentiment Analysis with Uncertain Missing Modalities AAAI 2024 A Unifying Post-Processing Framework for Multi-Objective Learn-to-Defer Problems NeurIPS 2024 A Unifying Variational Framework for Gaussian Process Motion Planning AISTATS 2024 AuRoRA: A One-for-all Platform for Augmented Reasoning and Refining with Task-Adaptive Chain-of-Thought Prompting COLING 2024 A User-Centric Multi-Intent Benchmark for Evaluating Large Language Models EMNLP 2024 A User-Friendly Framework for Generating Model-Preferred Prompts in Text-to-Image Synthesis AAAI 2024 Authentic Hand Avatar from a Phone Scan via Universal Hand Model CVPR 2024 Authorship Obfuscation in Multilingual Machine-Generated Text Detection EMNLP 2024 AutoAct: Automatic Agent Learning from Scratch for QA via Self-Planning ACL 2024 AutoAD III: The Prequel - Back to the Pixels CVPR 2024 AutoAgents: A Framework for Automatic Agent Generation IJCAI 2024 Autobidder's Dilemma: Why More Sophisticated Autobidders Lead to Worse Auction Efficiency NeurIPS 2024 Autobidders with Budget and ROI Constraints: Efficiency, Regret, and Pacing Dynamics COLT 2024 AutoCast++: Enhancing World Event Prediction with Zero-shot Ranking-based Context Retrieval ICLR 2024 AutoCD: Automated Machine Learning for Causal Discovery Algorithms PGM 2024 AutoDAN: Generating Stealthy Jailbreak Prompts on Aligned Large Language Models ICLR 2024 AutoDetect: Towards a Unified Framework for Automated Weakness Detection in Large Language Models EMNLP 2024 AUTODRAITEC: An Infrastructure-Based AUTOnomous DRiving System Using Artificial Intelligence and TEleCommunication Technologies IJCAI 2024 AutoDSL: Automated domain-specific language design for structural representation of procedures with constraints ACL 2024 Autoencoding Conditional Neural Processes for Representation Learning ICML 2024 Auto-Evolve: Enhancing Large Language Model’s Performance via Self-Reasoning Framework EMNLP 2024